divide88

粒子滤波改进算法仿真比较，我觉得很好用，大家快下载，贝叶斯滤波适合非线性和非高斯环境，这种非线性统计理论很先进(Improved particle filtering algorithm for simulation and comparison, I feel useful, we quickly download, Bayesian filtering for nonlinear and non-Gaussian environment, which is very advanced statistical theory of nonlinear)

slam simulation for robot cartoggraphy and mapping with out external sensors

异步双馈风力发电感应电机的网侧变换器，电压外环电流内环控制，可以运行(The grid side converter of double fed wind power asynchronous induction motor, voltage loop and current loop control, you can run)

邹鹏2011.6月论文中对于雷达重频模式鉴定提出的驻留比特性的仿真(Zou Peng 2011.6 paper for radar pulse repetition frequency mode identification characteristics reside than simulation)

matlab对平面图读取，提取矩阵，转化为彩色三维图，并选择所需区域(Matlab to plan to read and extract matrix, into color three dimensional figure, and select the required area)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

Particle filter implementation for matlab

Introduction to Simulink with Engineering Applications.

利用cordic实现除法的matlab源码。 本人原创，标准cordic算法。(implement division by cordic. matlab m language.)

adaptive algorithms using matlab software: Error_Minimization_Equation_Error Error_Minimization_Output_Error MIT_Rule_Equationt_Error MIT_Rule_Output_Error Projection_Algorithm